Senior Data Engineer - Blockchain jobs in United States
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Career Renew · 22 hours ago

Senior Data Engineer - Blockchain

Career Renew is recruiting for a Senior Data Engineer - Blockchain for one of its clients, a company focused on rebuilding global financial systems. The role involves designing and maintaining data pipelines and infrastructure essential for powering data ecosystems in a rapidly scaling fintech environment.

Management Consulting

Responsibilities

Design, build, and maintain our core data pipelines, including ingestion from payments processors, card issuers, blockchain nodes, internal services, and third-party APIs
Own orchestration and workflow management, implementing Airflow, Dagster, or similar tools to ensure reliable, observable, and scalable data processing
Architect and manage our data warehouse (Snowflake, BigQuery, or Redshift), driving performance, cost optimization, partitioning, and access patterns
Develop high-quality ELT/ETL transformations to structure raw logs, transactions, ledgers, and on-chain events into clean, production-grade datasets
Implement data quality frameworks and observability (tests, data contracts, freshness checks, lineage) to ensure every dataset is trustworthy
Partner closely with backend engineers to instrument new events, define data contracts, and improve telemetry across our infrastructure
Support Analytics and cross-functional teams by delivering well-modeled, well-documented tables that power dashboards, ROI analyses, customer reporting, and key business metrics
Own data reliability at scale, leading root-cause investigations, reducing pipeline failures, and building monitoring and alerting systems
Evaluate and integrate new tools across ingestion, enrichment, observability, and developer experience—raising the bar on performance and maintainability
Help set the long-term technical direction for our data platform as we scale across new products, regions, and chains

Qualification

PythonSQLData pipelinesData warehouseETL/ELTAirflowData qualityCloud platformsSystems thinkingCollaboration

Required

5–7+ years in data engineering roles, ideally within fintech, payments, B2B SaaS, or infrastructure-heavy startups
Strong Python and SQL fundamentals, with real experience building production-grade ETL/ELT
Hands-on experience with Airflow, Dagster, Prefect, or similar systems
Comfortable designing schemas, optimizing performance, and operating modern cloud warehouses (Snowflake, BigQuery, Redshift)
You care deeply about data integrity, testing, lineage, and observability
You thrive in early-stage environments, owning pipelines and platforms end-to-end and choosing simplicity without sacrificing reliability
You work well with backend engineers, analytics engineers, and cross-functional stakeholders to define requirements and deliver outcomes

Preferred

Experience ingesting and processing payments data, transaction logs, or ledger systems
Exposure to smart contracts, blockchain data structures, or on-chain event ingestion
Experience building data tooling for compliance, risk, or regulated environments
Familiarity with dbt and/or semantic modeling to support analytics layers
Prior experience standing up data platforms from 0→1 at early-stage companies

Benefits

Unlimited time off
Flexible working
Easy to access benefits
Retirement goals
Equity plan
Rain Cards
Health and Wellness
Team summits

Company

Career Renew

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Funding

Current Stage
Early Stage
Company data provided by crunchbase